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Data Lake for Enterprises

You're reading from   Data Lake for Enterprises Lambda Architecture for building enterprise data systems

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787281349
Length 596 pages
Edition 1st Edition
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Authors (3):
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Pankaj Misra Pankaj Misra
Author Profile Icon Pankaj Misra
Pankaj Misra
Tomcy John Tomcy John
Author Profile Icon Tomcy John
Tomcy John
Vivek Mishra Vivek Mishra
Author Profile Icon Vivek Mishra
Vivek Mishra
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Table of Contents (13) Chapters Close

Preface 1. Introduction to Data FREE CHAPTER 2. Comprehensive Concepts of a Data Lake 3. Lambda Architecture as a Pattern for Data Lake 4. Applied Lambda for Data Lake 5. Data Acquisition of Batch Data using Apache Sqoop 6. Data Acquisition of Stream Data using Apache Flume 7. Messaging Layer using Apache Kafka 8. Data Processing using Apache Flink 9. Data Store Using Apache Hadoop 10. Indexed Data Store using Elasticsearch 11. Data Lake Components Working Together 12. Data Lake Use Case Suggestions

Establishing cybersecurity practices in an enterprise

Data is growing day by day. People are becoming tech savvy. Worms and viruses are being created more often and getting stronger than ever. In such a digital environment, enterprises need to be more vigilant with the data they hold and also the applications that are the core of their operations/businesses.

A siloed security team is now turning itself into a full-fledged operations centre. This team is entrusted with the role of looking at data and all applications within an enterprise.

With such a growing scenario of data and application usage, having a platform to monitor various security-related concerns is a must. It is this requirement that makes construction of a data lake for security-related aspects inevitable.

Data is ingested from a variety of sources into the data lake, and then analysts carry out various analyses to create meaningful visualizations...

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